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runstr-fitness跑步健身

Agent Skill

runstr-fitness 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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51,041

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OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:runstr-fitness(跑步健身)
来源仓库:https://github.com/thewildhustle/runstr-fitness
安装命令:
openclaw skills install runstr-fitness
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install runstr-fitness

简介

让您的 AI 代理能够访问您来自 RUNSTR 的健康和健身数据。从 Nostr 获取锻炼、习惯、日记条目、心情、步数等。当用户询问他们的锻炼情况、健身历史、健康习惯、情绪跟踪或想要基于真实数据的人工智能健身指导时使用。

SKILL.md

name
runstr-fitness
description
Give your AI agent access to your health and fitness data from RUNSTR. Fetches workouts, habits, journal entries, mood, steps, and more from Nostr. Use when the user asks about their workouts, fitness history, health habits, mood tracking, or wants AI fitness coaching based on real data.
metadata
{"openclaw":{"emoji":"\�\�","requires":{"bins":["nak"]},"install":[{"id":"go","kind":"go","package":"github.com/fiatjaf/nak@latest","bins":["nak"],"label":"Install nak via Go"}]}}

RUNSTR Fitness Skill

Give your AI agent access to your real health and fitness data. RUNSTR is a free fitness app that tracks workouts, habits, journal entries, mood, and steps — and stores encrypted backups on the Nostr protocol. This skill lets your bot read that data so it can help with fitness coaching, habit accountability, mood tracking, and health insights.

What your bot gets access to:

  • Workout history (running, walking, cycling, hiking, strength, yoga, etc.)
  • Daily habits and streaks (quit smoking, daily meditation, etc.)
  • Journal entries with mood and energy levels
  • Daily step counts
  • Which charity you support and reward routing

Setup: Getting Your Data to Your Bot

If you're already a RUNSTR user with backups enabled, skip to step 3.

1. Download RUNSTR (if you haven't)

  • iOS: Search "RUNSTR" on the App Store
  • Android: Available on Zapstore or direct APK
  • GitHub: https://github.com/RUNSTR (open source)

RUNSTR is free. You earn Bitcoin (sats) for working out.

2. Use the App

  • Create or import a Nostr identity (the app generates one for you)
  • Track workouts, log habits, write journal entries
  • Go to Settings > Backup and tap Backup to Nostr

This encrypts all your fitness data and publishes it to Nostr relays. Only you (with your private key) can read it.

3. Give Your Bot Your nsec

Your nsec is your Nostr private key. Find it in RUNSTR under Settings > Keys (or your Nostr key manager).

Tell your bot: "Here's my RUNSTR nsec: nsec1..."

Your bot uses the nsec to decrypt your encrypted fitness backup from Nostr. The nsec is never stored, logged, or transmitted — it's used only for the decryption step in your current session.

Why nsec and not npub? Your fitness data is encrypted. The public key (npub) can only see old public workout posts (if any). The private key (nsec) is needed to decrypt your habits, journals, mood, steps, and current workout history.

Privacy note: If you want a dedicated identity just for fitness data, create a new Nostr account in RUNSTR. Your fitness nsec doesn't have to be your main Nostr identity.

4. Keep Your Backup Fresh

Your bot sees whatever was in your last backup. After a week of new workouts, go to Settings > Backup in RUNSTR and tap backup again to sync the latest data to Nostr.


For the Agent: How to Fetch RUNSTR Data

Everything below is instructions for the AI agent, not the user.

Prerequisites

nak (Nostr Army Knife) must be installed:

go install github.com/fiatjaf/nak@latest

Relays

Always query these four relays (RUNSTR defaults):

wss://relay.damus.io wss://relay.primal.net wss://nos.lol wss://relay.nostr.band

Step 1: Decode the nsec

hex_sk=$(nak decode nsec1...)
hex_pk=$(nak key public $hex_sk)

Step 2: Fetch Profile (Kind 0)

nak req -k 0 -a $hex_pk -l 1 \
  wss://relay.damus.io wss://nos.lol | \
  jq -r '.content | fromjson | {name, about, lud16, picture}'

Step 3: Fetch Encrypted Backup (Kind 30078)

This is the primary data source.

nak req -k 30078 -a $hex_pk -t d=runstr-workout-backup -l 1 \
  wss://relay.damus.io wss://relay.primal.net wss://nos.lol wss://relay.nostr.band

If no backup found: Tell the user: "No backup found on Nostr. Open RUNSTR on your phone, go to Settings > Backup, and create one. Then try again."

If backup found but exportedAt is old: Warn the user that their backup is stale and recent data may be missing. Suggest they re-backup in the app.

Decrypt the Backup

The backup is NIP-44 self-encrypted and gzip-compressed.

Method 1: Using nak

content=$(nak req -k 30078 -a $hex_pk -t d=runstr-workout-backup -l 1 \
  wss://relay.damus.io wss://nos.lol | jq -r '.content')

# Decrypt (NIP-44 self-decryption: user to own pubkey)
decrypted=$(echo "$content" | nak encrypt --sec $hex_sk $hex_pk --decrypt)

# Decompress (check for ["compression", "gzip"] tag first)
echo "$decrypted" | base64 -d | gunzip | jq .

Method 2: Node.js fallback

// /tmp/decrypt-runstr.mjs — run with: node /tmp/decrypt-runstr.mjs <hex_sk> '<content>'
import { gunzipSync } from 'zlib';
import NDK, { NDKPrivateKeySigner } from '@nostr-dev-kit/ndk';

const signer = new NDKPrivateKeySigner(process.argv[2]);
const user = await signer.user();
const decrypted = await signer.decrypt(user, process.argv[3]);

try {
  console.log(gunzipSync(Buffer.from(decrypted, 'base64')).toString());
} catch {
  console.log(decrypted);
}

Backup Payload Structure

{
  "version": 1,
  "exportedAt": "2025-01-15T10:30:00Z",
  "appVersion": "1.6.5",
  "workouts": [
    {
      "id": "uuid",
      "type": "running",
      "startTime": "2025-01-15T07:00:00Z",
      "endTime": "2025-01-15T07:35:00Z",
      "duration": 2100,
      "distance": 5200,
      "calories": 312
    }
  ],
  "habits": [
    {
      "id": "id",
      "name": "No Smoking",
      "type": "abstinence",
      "currentStreak": 45,
      "longestStreak": 45,
      "checkIns": ["2025-01-15", "2025-01-14"]
    }
  ],
  "journal": [
    {
      "id": "uuid",
      "date": "2025-01-15",
      "content": "Great morning run today.",
      "mood": "great",
      "energy": 4,
      "tags": ["morning", "outdoors"]
    }
  ],
  "stepHistory": [
    { "date": "2025-01-15", "steps": 12450, "source": "healthkit" }
  ],
  "preferences": {
    "unitSystem": "imperial",
    "selectedCharity": "hrf"
  }
}

Field reference:

  • workouts[].type: running, walking, cycling, hiking, strength, meditation, yoga, diet, swimming, rowing
  • workouts[].duration: seconds
  • workouts[].distance: meters
  • habits[].type: "abstinence" (quitting something) or "positive" (building something)
  • journal[].mood: great, good, neutral, low, bad
  • journal[].energy: 1-5 scale
  • stepHistory[].source: healthkit, health_connect, native

Step 4: Check for Legacy Public Workouts (Kind 1301)

Older users may have public workout events. Always check:

nak req -k 1301 -a $hex_pk -l 50 \
  wss://relay.damus.io wss://relay.primal.net wss://nos.lol wss://relay.nostr.band

If found, parse tags array:

TagExample
exercise["exercise", "running"]
distance["distance", "5.2", "km"]
duration["duration", "00:30:45"]
calories["calories", "312"]
avg_pace["avg_pace", "05:39", "min/km"]
steps["steps", "8432"]
team["team", "hrf"]

Merge with backup data. Deduplicate by matching workout start times or IDs.

Step 5: Analyze and Present

Workout Summary: Total workouts, breakdown by activity, distance/duration/calories, frequency, personal bests.

Trends: Frequency changes, pace improvement, gaps, active days of week.

Habits: Current streaks, longest streaks, consistency rate.

Journal & Mood: Mood trend, energy averages, workout-mood correlation.

Steps: Daily average, weekly totals, trends.

Charity: Which team/charity, reward routing (user vs charity).

Step 6: Store Health Summary in Memory

Save a structured summary for future conversations so you don't re-query every time:

# Health & Fitness Summary
Last updated: YYYY-MM-DD
Source: RUNSTR (Nostr encrypted backup)
User: <name or npub>

## Recent Activity (Last 30 Days)
- Total workouts: X
- Running: X workouts, Y km, avg pace Z/km
- Walking: X workouts, Y km
- Cycling: X workouts, Y km

## Frequency
- X workouts/week avg
- Most active: [weekday]

## Habits
- [Habit]: X day streak

## Mood & Energy
- Avg mood: [level], Avg energy: X/5

## Steps
- Avg: X,XXX/day

## Insights
- [Patterns and observations]

Coaching Mode

Once you have data, you can:

  • Recommend workouts based on history and goals
  • Suggest rest days based on training load
  • Check in on habit streaks
  • Correlate mood with activity
  • Track goals ("run 20 km this week")
  • Remind based on usual workout schedule

Troubleshooting

ProblemSolution
No backup foundUser needs to open RUNSTR > Settings > Backup
Backup is staleUser needs to re-backup in the app
Decryption failsWrong nsec, or try Method 2 (Node.js)
nak not installedgo install github.com/fiatjaf/nak@latest
No Go installedUse Method 2 (Node.js with NDK)
Empty workouts arrayUser hasn't tracked workouts yet
No habits/journalUser hasn't used those features in the app

About RUNSTR

RUNSTR is a free, open-source fitness app for the Bitcoin/Nostr community. Track workouts, earn Bitcoin (sats) for exercising, support charities, and join fitness competitions. Your data is yours — stored on your device and backed up encrypted to Nostr.

  • Website: https://runstr.app
  • GitHub: https://github.com/RUNSTR
  • Rewards: 50 sats per daily workout via Lightning address
  • PPQ.AI credits: Earn AI credits for working out

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

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能力 2

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能力 5

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安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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